Results 111 to 120 of about 11,676 (255)

Sedimentology of silica granules and haematite in the 3.47 Ga Antarctic Creek Member, Mount Ada Basalt, Western Australia

open access: yesSedimentology, EarlyView.
ABSTRACT The Paleoarchean Antarctic Creek Member of the Mount Ada Basalt, Eastern Pilbara Terrane, Western Australia, includes beds of jasper and white chert composed of sand‐sized silica granules that often contain or are mixed with silt‐sized particles of haematite.
Donald R. Lowe, Gary R. Byerly
wiley   +1 more source

Source‐to‐sink sediment transport reversals during glacial sea‐level lowstands sustain soil formation on pericoastal carbonate terrains

open access: yesSedimentology, EarlyView.
ABSTRACT Understanding the processes that drive soil formation is crucial for developing sustainable land‐use strategies, as changing land‐use practices and climate change exacerbate soil erosion. The formation of substantial arable soils on carbonate bedrock requires substantial dust accretion as the underlying bedrock lacks siliciclastic material. In
Daniel Palchan   +3 more
wiley   +1 more source

Engineering <i>Escherichia coli</i> for Urease-Driven Synthesis of Metal Oxide Nanomaterials. [PDF]

open access: yesACS Synth Biol
Wu ZY   +6 more
europepmc   +1 more source

Recent Development in Solar‐to‐Hydrogen Conversion Systems

open access: yesWIREs Energy and Environment, Volume 15, Issue 3, September 2026.
This review compares three solar‐driven hydrogen production methods, photocatalysis (PC), photoelectrochemical cells (PEC), and photovoltaic–electrochemical (PV–EC) systems by examining their mechanisms, materials, stability, and efficiency. Nanocrystal‐based PC catalysts achieved the highest quantum efficiency (94%), while PV–EC and Si nanowire PEC ...
Rabia Zafar Ali   +3 more
wiley   +1 more source

Automated Mineral Identification and Rock‐Type Classification of Lunar Mare Basalts Using SEM Images

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We present an automated system for identifying minerals and classifying rock types in Apollo lunar mare basalts using scanning electron microscopy (SEM) imagery. Mineral segmentation is based on a U‐Net architecture, supplemented by two scale‐aware models designed to incorporate pixel size information.
Ji‐In Jung   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy